Users of MapReduce often run into performance problems when they scale up their workloads. Many of the problems they encounter can be overcome by applying techniques learned from ...
Avrilia Floratou, Jignesh M. Patel, Eugene J. Shek...
— In this paper, we address the problem of learning 3D maps of the environment using a cheap sensor setup which consists of two standard web cams and a low cost inertial measurem...
Bastian Steder, Giorgio Grisetti, Slawomir Grzonka...
Abstract--There exists an injective, information-preserving function that maps a semantic network (i.e a directed labeled network) to a directed network (i.e. a directed unlabeled ...
Translating data and data access operations between applications and databases is a longstanding data management problem. We present a novel approach to this problem, in which the...
This paper defines a type of constrained artificial neural network (ANN) that enables analytical certification arguments whilst retaining valuable performance characteristics. ...